A method and device for real-time fraud detection based on non-cumulative attributes

Abstract

The invention provides a non-cumulative attribute based real-time fraud detection method and apparatus, which are used in the technical field of telecom information security. The apparatus comprises an attribute design module, a user box division module, a user discretization module, a score computing module and a fraud judgment module, wherein a non-cumulative attribute is selected for representing a communication habit of a user in the attribute design module; the user box division module adopts equi-depth box division; a discretization result of the detected user in each attribute is obtained; the score computing module computes a minimum value of a Manhattan distance between users; and the fraud judgment module judges whether a fraud happens or not according to a threshold. According to the method, a behavior characteristic of the user is described with the non-cumulative attribute; the fraud identification is carried out according to the similarity of the communication habit of the user; the influence of the high-value user on the skewness of normal distribution is avoided by adopting the equi-depth box division; and the score computing is carried out by using the Manhattan distance. According to the method and apparatus, the complexity of computing is low, the real-time computing of massive data is realized, and an identification alarm can be given in an early fraud stage.

Description

technical field [0001] The invention relates to the technical field of telecommunications information security, in particular to a method and device for real-time fraud detection based on non-cumulative attributes. Background technique [0002] With economic development and social progress, economic fraud has intensified, causing significant losses to many organizations or individuals involved in multiple industries. Correspondingly, from theoretical research to business practice, the monitoring and identification of fraudulent behavior has attracted more and more attention. In the telecommunications industry, due to the long settlement cycle of international business, a very small number of postpaid users have some fraudulent behaviors, such as copying USIM cards for fraudulent calls, dialing high settlement directions to collect international settlement fees, illegal polling and testing, etc. Telecom operators There is an urgent need for a software tool that can detect fr...

AI Technical Summary

Problems solved by technology

[0011] In order to solve the problem of real-time fraud detection in the streaming data environment, the present invention proposes a real-time fraud detection method and device based on an intelligent scoring algorithm based on non-accumulative attributes

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